New Scheme of Implementing Real-Time Linux. - Xue-Yu Hong; Ling Zhang 005; Jinlong Hu 002 (ICSEA, 2006)

Performance Evaluation of Parallel File System Based on Lustre and Grey Theory. - Tiezhu Zhao; Jinlong Hu 002 (GCC, 2010)

Adaptation of ANN Based Video Stream QoE Prediction Model. - Jianfeng Deng; Ling Zhang 005; Jinlong Hu 002; Dongli He (PCM, 2014)

Drug-drug interaction relation extraction with deep convolutional neural networks. - Ika Novita Dewi; Shoubin Dong; Jinlong Hu 002 (BIBM, 2017)

A hybrid bipartite graph based recommendation algorithm for mobile games. - Yong Cai; Shaorong Liu; Jinlong Hu 002; Guihong Bai; Shoubin Dong (IEEE BigData, 2017)

iBGP: A Bipartite Graph Propagation Approach for Mobile Advertising Fraud Detection. - Jinlong Hu 002; Junjie Liang; Shoubin Dong (Mob. Inf. Syst., 2017)

DITGOssi: a two-stage invasive tumor growth optimization algorithm for the detection of SNPSNP interactions. - Kaiwen Tan; Shoubing Dong; Jing Zhou; Jinlong Hu 002 (BIBM, 2018)

pRNN: A Recurrent Neural Network based Approach for Customer Churn Prediction in Telecommunication Sector. - Jinlong Hu 002; Yi Zhuang; Jiang Yang; Lei Lei; Minjie Huang; Runchao Zhu; Shoubin Dong (IEEE BigData, 2018)

Top-N-Rank: A Scalable List-wise Ranking Method for Recommender Systems. - Junjie Liang; Jinlong Hu 002; Shoubin Dong; Vasant G. Honavar (IEEE BigData, 2018)

Jointly Modeling User and Item Reviews by CNN for Multi-domain Recommendation. - Yong Cai; Shoubin Dong; Jinlong Hu 002 (CCIR, 2018)

A user similarity-based Top-N recommendation approach for mobile in-application advertising. - Jinlong Hu 002; Junjie Liang; Yuezhen Kuang; Vasant G. Honavar (Expert Syst. Appl., 2018)

A Multichannel 2D Convolutional Neural Network Model for Task-Evoked fMRI Data Classification. - Jinlong Hu 002; Yuezhen Kuang; Bin Liao 005; Lijie Cao; Shoubin Dong; Ping Li 026 (Comput. Intell. Neurosci., 2019)

A deep learning model incorporating part of speech and self-matching attention for named entity recognition of Chinese electronic medical records. - Xiaoling Cai; Shoubin Dong; Jinlong Hu 002 (BMC Medical Informatics Decis. Mak., 2019)

Graph Learning Approaches for Graph with Noise: Application to Disease Prediction in Population Graph. - Lang Chen; Yangmin Huang; Bin Liao 005; Kun Nie; Shoubin Dong; Jinlong Hu 002 (BIBM, 2020)

Enriching Pre-trained Language Model with Dependency Syntactic Information for Chemical-Protein Interaction Extraction. - Jianye Fan; Xiaofeng Liu 014; Shoubin Dong; Jinlong Hu 002 (CCIR, 2020)

GCN-LRP explanation: exploring latent attention of graph convolutional networks. - Jinlong Hu 002; Tenghui Li; Shoubin Dong (IJCNN, 2020)

RACRec: Review Aware Cross-Domain Recommendation for Fully-Cold-Start User. - Yaru Jin; Shoubin Dong; Yong Cai; Jinlong Hu 002 (IEEE Access, 2020)

Interpretable Learning Approaches in Resting-State Functional Connectivity Analysis: The Case of Autism Spectrum Disorder. - Jinlong Hu 002; Lijie Cao; Tenghui Li; Bin Liao 005; Shoubin Dong; Ping Li 026 (Comput. Math. Methods Medicine, 2020)

A multi-omics supervised autoencoder for pan-cancer clinical outcome endpoints prediction. - Kaiwen Tan; Weixian Huang; Jinlong Hu 002; Shoubin Dong (BMC Medical Informatics Decis. Mak., 2020)

GFD: A Weighted Heterogeneous Graph Embedding Based Approach for Fraud Detection in Mobile Advertising. - Jinlong Hu 002; Tenghui Li; Yi Zhuang; Song Huang; Shoubin Dong (Secur. Commun. Networks, 2020)

GAT-LI: a graph attention network based learning and interpreting method for functional brain network classification. - Jinlong Hu 002; Lijie Cao; Tenghui Li; Shoubin Dong; Ping Li 026 (BMC Bioinform., 2021)

Optical flow estimation combining with illumination adjustment and edge refinement in livestock UAV videos. - Bin Liao 005; Jinlong Hu 002; Rick O. Gilmore (Comput. Electron. Agric., 2021)

MESD: Exploring Optical Flow Assessment on Edge of Motion Objects with Motion Edge Structure Difference. - Bin Liao 005; Jinlong Hu 002 (CoRR, 2021)

AEFE: Automatic Embedded Feature Engineering for Categorical Features. - Zhenyuan Zhong; Jie Yang; Yacong Ma; Shoubin Dong; Jinlong Hu 002 (CoRR, 2021)

GFE: General Knowledge Enhanced Framework for Explainable Sequential Recommendation. - Zuoxi Yang; Shoubin Dong; Jinlong Hu 002 (Knowl. Based Syst., 2021)

A Hierarchical Graph Convolution Network for Representation Learning of Gene Expression Data. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu 002; Shoubin Dong (IEEE J. Biomed. Health Informatics, 2021)

A multi-modal fusion framework based on multi-task correlation learning for cancer prognosis prediction. - Kaiwen Tan; Weixian Huang; Xiaofeng Liu 014; Jinlong Hu 002; Shoubin Dong (Artif. Intell. Medicine, 2022)

A Syntax-enhanced model based on category keywords for biomedical relation extraction. - Xiaofeng Liu 014; Jiajie Tan; Jianye Fan; Kaiwen Tan; Jinlong Hu 002; Shoubin Dong (J. Biomed. Informatics, 2022)

Entity Relation Aware Graph Neural Ranking for Biomedical Information Retrieval. - Yichen He; Xiaofeng Liu 014; Jinlong Hu 002; Shoubin Dong (BIBM, 2023)

Transformer and Snowball Graph Convolution Learning for Brain Functional Network Analysis. - Jinlong Hu 002; Yangmin Huang; Shoubin Dong (BIBM, 2023)

BrainPST: Pre-training Stacked Transformers for Dynamic Brain Functional Network Analysis. - Jinlong Hu 002; Yangmin Huang; Yi Zhuo; Shoubin Dong (BIBM, 2023)

Video Noise Removal Using Progressive Decomposition With Conditional Invertibility. - Haoran Huang; Yuhui Quan; Zhenghua Lei; Jinlong Hu 002; Yan Huang 031 (ICME, 2023)

Transformer and Snowball Graph Convolution Learning for Biomedical Graph Classification. - Jinlong Hu 002; Yangmin Huang; Shoubin Dong (CoRR, 2023)

BrainNPT: Pre-training of Transformer networks for brain network classification. - Jinlong Hu 002; Yangmin Huang; Nan Wang; Shoubin Dong (CoRR, 2023)

Generating knowledge aware explanation for natural language inference. - Zongbao Yang; Yinxin Xu; Jinlong Hu 002; Shoubin Dong (Inf. Process. Manag., 2023)

A Review of Fusion Methods for Omics and Imaging Data. - Weixian Huang; Kaiwen Tan; Ziye Zhang 004; Jinlong Hu 002; Shoubin Dong (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

Explainable Natural Language Inference via Identifying Important Rationales. - Zongbao Yang; Shoubin Dong; Jinlong Hu 002 (IEEE Trans. Artif. Intell., 2023)

Incorporating entity-level knowledge in pretrained language model for biomedical dense retrieval. - Jiajie Tan; Jinlong Hu 002; Shoubin Dong (Comput. Biol. Medicine, 2023)

Interpretable Disease Prediction via Path Reasoning over medical knowledge graphs and admission history. - Zongbao Yang; Yuchen Lin; Yinxin Xu; Jinlong Hu 002; Shoubin Dong (Knowl. Based Syst., 2023)

Multi-objective computation offloading based on Invasive Tumor Growth Optimization for collaborative edge-cloud computing. - Xiaofei Wu; Shoubin Dong; Jinlong Hu 002; Qianxue Hu (Soft Comput., 2023)

DCSim: Computing and Networking Integration based Container Scheduling Simulator for Data Centers. - Jinlong Hu 002; Zhizhe Rao; Xingchen Liu; Lihao Deng; Shoubin Dong (CoRR, 2024)

An efficient many-objective optimization algorithm for computation offloading in heterogeneous vehicular edge computing network. - Xiaofei Wu; Shoubin Dong; Jinlong Hu 002; Zhidong Huang (Simul. Model. Pract. Theory, 2024)